most citedBiPFT: Binary Pre-trained Foundation Transformer with Low-rank Estimation of Binarization Residual Polynomials

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024

Leveraging Frequency Domain Learning in 3D Vessel Segmentation

Xinyuan Wang, Chengwei Pan, Hongming Dai +4

Coronary microvascular disease constitutes a substantial risk to human health. Employing computer-aided analysis and diagnostic systems, medical professionals can intervene early i…

cs.LG2023★ 1 cited

BiPFT: Binary Pre-trained Foundation Transformer with Low-rank Estimation of Binarization Residual Polynomials

Xingrun Xing, Li Du, Xinyuan Wang +4

Pretrained foundation models offer substantial benefits for a wide range of downstream tasks, which can be one of the most potential techniques to access artificial general intelli…